Gender: Male 
Age: 45-54
Nationality: United Kingdom
Ethnicity: Black or African American 
Marital status: Married 
First language: English 
Religion: Prefer not to say 
Education: Prefer not to say
Mother's education: Prefer not to say
Father's education: Prefer not to say
Self-assessed socioeconomic status (1-10): 6
Home: Prefer not to say 
Employment: Self-employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Skilled agricultural, forestry and fishery workers (those harvest, grow, breed, or produce a variety of animal husbandry products)
Hobbies: Go to museums and galleries;Attend football matches 
Devices used daily: Smartphone;Tablet;Laptop 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language);Other (specify);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Google Gemini 
LLM use cases: Writing (e.g., composing emails);Brainstorming;Proofreading/Editing (e.g., grammar, spelling, structure improvements) 
Contexts of LLM use: Work;Personal;Creative or artistic;Learning;Technical 
Prompt 1: does this read well: when i was a child, i stammered
Prompt 2: how many states were in the usa in the year 1850
Prompt 3: which is the largest city in the world
Prompt 4: how fast can a cheetah run
Prompt 5: who is the current french prime minister?
Prompt 6: why does france have both president and prime minister
Prompt 7: what are the 3 most popular models of tesla
Prompt 8: list the 10 largest cities in the world, along with corresponding population and geographical area
Prompt 9: give me the recipee for cinnamon roll
Prompt 10: what time is it now in Sydney
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